Waveform design for target recognition on the background of clutter

The existence of clutter in received waveform makes the waveform design a difficult problem. For the clutter is correlated with the transmitted signal, it comes to an iterative method in the traditional ways and is difficult to achieve an analytical solution. This paper presents a waveform design method in clutter for target recognition. It transforms the target recognition problem in complex WSS Gaussian clutter into a hypothesis test procedure with mean shift Gaussian-Gaussian probability distribution function. The optimum waveform is the one that maximizes the shift distance and the analytical solution can be obtained. The simulation results show that the recognition performance improves a lot when compared to the LFM signal with equal energy and bandwidth.